Senior Engineer- Data Services

Get started on an exciting career at Element!

Element employees make a difference in the lives of others every day. We are re-defining the fleet management industry to be people first then business delivering on our promise of a superior client experience. This takes hard work and innovation and we need more like-minded people on our team.

About the Role

We are looking for a Senior Engineer- Data Services to lead the solutioning design development implementation and support of scalable data solutions. This role supports enterprise platforms customer onboarding business operations and strategic technology initiatives. It provides technical direction across ETL development data integration transformation validation replication and production support. The role ensures data solutions are reliable maintainable efficient and aligned with enterprise standards.

What Youll Do

• Lead the design development testing implementation and support of ETL jobs based on project requirements client onboarding needs and business specifications.

• Provide technical direction for scalable data integration solutions that support onboarding transformation validation replication reconciliation and downstream consumption.

• Translate business and functional requirements into reliable maintainable and production-ready data service solutions aligned with enterprise standards.

• Lead the development enhancement and maintenance of Talend jobs reusable Talend components mappings and job frameworks to improve consistency efficiency and maintainability.

• Lead SQL optimization and ETL performance tuning efforts to reduce processing times improve job efficiency strengthen data quality and increase operational reliability.

• Provide technical leadership for data replication and synchronization between mainframe systems and distributed databases ensuring completeness accuracy timeliness and auditability.

• Manage technical execution by coordinating deliverables tracking dependencies identifying risks resolving roadblocks and escalating issues when needed.

• Lead technical design reviews code reviews peer programming requirement analysis testing strategy and release readiness activities to ensure high-quality delivery.

• Partner with business onboarding product engineering QA operations and leadership teams to clarify requirements resolve data questions and support successful delivery of data services initiatives.

• Drive continuous improvement by standardizing processes automating manual tasks improving reusable frameworks modernizing data services and increasing scalability across distributed systems.

Basic Qualifications

• Bachelors degree in Computer Science Software Engineering Information Systems Engineering or a related technical field.

• 8 years of progressive hands-on experience in Data Engineering ETL development data integration and production data services in enterprise environments.

• Strong hands-on expertise with ETL tools such as Talend and TCVision including design development testing deployment monitoring and support of ETL workflows.

• Proven experience leading the solutioning design and implementation of scalable data integration solutions for onboarding transformation validation replication and downstream consumption.

• Extensive SQL development data analysis data validation reconciliation and performance optimization experience using PostgreSQL or similar relational/distributed databases.

• Strong analytical problem-solving communication stakeholder engagement Agile DevOps and CI/CD capabilities with the ability to influence cross-functional teams and leadership stakeholders.

Preferred Qualifications

• Experience with cloud data platforms such as AWS Snowflake or Redshift.

• Hands-on experience with Python for data processing automation scripting or operational support.

• Knowledge of AWS data services such as S3 Athena DMS EC2 and CloudWatch.

• Experience with DevOps tools such as Git Jira Nexus automated build/deployment tools and CI/CD pipelines.

• Experience standardizing ETL frameworks improving reusable components automating manual processes and modernizing enterprise data services.

Location Toronto ON

The hiring base salary range for this position is $99200- $136400 annually. Actual compensation within this range will be dependent upon the individuals knowledge skills experience equity with other team members and alignment with market data. Please note that the disclosed salary range is solely for candidates hired to perform work within this geographic location. Candidates hired to work in other locations will be subject to the pay range associated with that location.

Whats in it for You
A culture of innovation empowerment decision-making and accountability
Comprehensive health and welfare benefits that serve the needs of you and your family and foster a culture of wellness (for qualified roles)
Additional benefits and amenities including paid time-off programs (vacation sick leave and holidays) (for qualified roles)

Applicants will be required to undergo a background check only if and after a conditional offer of employment has been extended.

Element Fleet Management and its wholly owned subsidiaries are an equal opportunity employer committed to diversity equity inclusion and belonging. We are pleased to consider all qualified applicants for employment without regard to race color religion genetic information sex gender identity sexual orientation age marital status family status ancestry national origin citizenship physical or mental disability veteran status military obligations or any other characteristic protected by federal state and local laws. Disability-related accommodations during the application and interview process are available upon you require an accommodation with our hiring process please send an email to or call . Element Fleet Management also uses AI-assisted tools to help screen and assess applications. These tools analyze information you provide (for example your rēsumē and screening responses) to identify job-related skills qualifications and experience. AI outputs do not by themselves determine whether you advance or receive an offer they assist recruiters and hiring managers. Final hiring decisions are made by people.